Papers
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
Gideon S. Mann, Andrew McCallum
On Spectral Learning
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
On Learning with Integral Operators
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
Image Denoising with Kernels Based on Natural Image Relations
Valero Laparra, Juan Gutiérrez, Gustavo Camps-Valls et al.
A Streaming Parallel Decision Tree Algorithm
Yael Ben-Haim, Elad Tom-Tov
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models
Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang et al.
Stability Bounds for Stationary φ-mixing and β-mixing Processes
Mehryar Mohri, Afshin Rostamizadeh
Maximum Relative Margin and Data-Dependent Regularization
Pannagadatta K. Shivaswamy, Tony Jebara
PyBrain
Tom Schaul, Justin Bayer, Daan Wierstra et al.
A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression
Jianing Shi, Wotao Yin, Stanley Osher et al.
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
Gérard Biau, Frédéric Cérou, Arnaud Guyader
Second-Order Bilinear Discriminant Analysis
Christoforos Christoforou, Robert Haralick, Paul Sajda et al.
Error-Correcting Output Codes Library
Sergio Escalera, Oriol Pujol, Petia Radeva
Why Does Unsupervised Pre-training Help Deep Learning?
Dumitru Erhan, Yoshua Bengio, Aaron Courville et al.
A Rotation Test to Verify Latent Structure
Patrick O. Perry, Art B. Owen
Approximate Tree Kernels
Konrad Rieck, Tammo Krueger, Ulf Brefeld et al.
Generalized Power Method for Sparse Principal Component Analysis
Michel Journée, Yurii Nesterov, Peter Richtárik et al.
Classification Using Geometric Level Sets
Kush R. Varshney, Alan S. Willsky
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization
Jarkko Venna, Jaakko Peltonen, Kristian Nybo et al.
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
Philippos Mordohai, Gérard Medioni
A Convergent Online Single Time Scale Actor Critic Algorithm
Dotan Di Castro, Ron Meir
Bundle Methods for Regularized Risk Minimization
Choon Hui Teo, S.V.N. Vishwanthan, Alex J. Smola et al.
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
Kaname Kojima, Eric Perrier, Seiya Imoto et al.
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions
Constantin F. Aliferis, Alexander Statnikov, Ioannis Tsamardinos et al.